Volume 12 | Issue 5 |

 Abstract

The oldest documented knowledge in India is found in Vedas which is the Source of knowledge. The medicinal traces found in Rigveda, Atharvaveda gives more advance picture in number and variety of Drugs. Medicinal Plants play an important role in drug development, as these are the source of majority of ingredients in Ayurveda as well as Modern Medicine. The drug Cakramarda is one of the miraculous drug and most commonly available plant on road sides in all parts of India and other parts of the Country. Cakramarda, also known as "Cassia tora" or "Senna tora," is a plant with a history of traditional use in system of Ayurveda. It has diversified uses in various systems and most popular in treating skin diseases mostly as a result which it was named as Dadrughna in Samhitas and Puranas. As per annotations of Acaryas in samhitas - the Classical Ayurvedic Literature, Cakramarda is known as Cakragaja is a part of the Sami Dhanya varga which refers to the "Group of Legumes" also mentioned as part of the Saka varga (Group of Vegetables / Pot Herbs) and defined which are based on the Dietic value of the plant. It was extensively used in Curna pradeha and many important formulations externally and internally in various ailments. Apart from its therapeutic potential it has also got some cosmetic importance of Kanthikara and Varnya property. The present article gives the comprehensive literary review of all the classics.

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Cakramarda, Ayurvedic Literature, Literary review, Samhitas, Puranas, Nighantus

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Water pollution remains a significant environmental concern, particularly in rivers and waterways. This paper presents the design and development of a Bluetooth-operated River cleaning mechanism aimed at efficiently removing debris and pollutants from water bodies. The system utilizes innovative technology to enhance water quality and ecosystem health while minimizing human intervention.

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Keywords: Bluetooth, River cleaning, Water pollution, Mechanism, Environmental sustainability.

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The Insolvency and Bankruptcy Code (IBC) has emerged as a transformative legislation in India, aiming to address the complex issues surrounding insolvency and bankruptcy proceedings. This paper provides a comprehensive analysis of the IBC, examining its implications, challenges, and potential solutions. The study begins by contextualizing the need for a robust insolvency framework, highlighting the shortcomings of the previous legal regime and the economic ramifications of ineffective insolvency resolution mechanisms. It then delves into the key provisions of the IBC, including its objectives, procedural framework, and institutional mechanisms. Drawing on empirical data and case studies, the paper evaluates the impact of the IBC on various stakeholders, including creditors, debtors, insolvency professionals, and the economy. It assesses the effectiveness of the IBC in expediting the resolution process, enhancing creditor recovery rates, and promoting a culture of financial discipline. Furthermore, the study identifies the challenges and bottlenecks encountered in the implementation of the IBC, such as delays in resolution, capacity constraints, and legal complexities. It explores potential strategies and policy interventions to address these challenges, including streamlining the resolution process, strengthening institutional capacity, and promoting alternative dispute resolution mechanisms. Finally, the paper concludes with recommendations for policymakers, practitioners, and stakeholders to further strengthen the insolvency framework in India and maximize its effectiveness in promoting economic growth, financial stability, and investor confidence

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IBC. CIRP. IRP

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Pharmacotherapy is a major component of the multimodal comprehensive treatment of pain. The degree and kind of the patient's pain, together with their age and any other medical conditions, all influence how well an analgesic works, including how much is prescribed and how it is administered. This study aims to provide doctors, nurses, pharmacists, and other healthcare professionals who work with patients who are in pain with the most recent information on analgesics applied topically and transdermally. Analgesics applied topically or transdermally function via many pathways. Transdermal opioid administration causes the absorption of opioids into subcutaneous tissue vessels, which then transport the opioids on receptors (opioids) throughout the peripheral and central nervous systems via the blood. When administered topically, non-steroid anti-inflammation medications produce analgesic effect primarily by supplying local anti-inflammatory effects and high concentration in joints assembly. Drugs applied topically, such as creams containing antidepressants (doxepin, amitriptyline), capsaicin in cream, EMLA cream, lidocaine and capsaicin in patches, and capsaicin in cream, primarily operate nearby in tissue over receptors , ions channel. There are certain benefits to applying topical and transdermal analgesics as opposed to systemic medication. Since topical analgesics alleviate local pain with little to no systemic side effects, they have a far better adverse effect profile. In addition to the benefits listed above, the transdermal method offers a prolonged analgesic period and may be more suitable, epecially beneficial for patients who cannot ingest medications by oral route. Topical or transdermal opioids carry a lower risk of addiction compared to those administered orally or intravenously.

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 Keywords

pharmacotherapy, multimodal comprehensive treatment, pain management, analgesics, topical application, transdermal administration, opioid absorption, subcutaneous tissue vessels, opioid receptors, central nervous system, peripheral nervous system, non-steroidal anti-inflammatory drugs (NSAIDs), local anti-inflammatory effects, joint structures, antidepressants, capsaicin, EMLA cream, lidocaine, ion channels, systemic side effects.

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The proposed system is all about smuggling of trees like sandal, red sandal, "sag wan" essential medicinal. These trees are very costly as well as less available in the world.

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Smart forestry systems,early fire detection, illegal logging prevention, anti smuggling measures, environmental monitoring, forest protection.

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In every organized society, the rights as guaranteed by the established law to be measured as an individual is not guaranteed by meeting the needs of the animal alone. It is protected only if it is ensured and recognised by all the institutions to develop and does not have any barriers to its growth. All human rights ,which is earlier natural right, are meant to achieve the certain ends and for this purpose is essential to ensure certain elementary rights such as food, water, clean environment, education, health care ought to be reflects as the guaranteed provision by the established provisions of the constitutions of any civilised societies. This, infact, appears to requisite element for any human life to live such a dignified life. The term 'life' as employed by Article 21 does not merely replace the concept of physical existence with all the good values of life, including the right to earn a living and the right to live. This right can be a fundamental right bound to all people living in India, citizens and non-citizens alike. The right to life including the right to live and work as guaranteed by Article 21 is not reduced to a paper plate but is maintained, strong and vibrant so that the country can successfully adhere to the set policy of public debate as proposed by the founding fathers during the making of the Indian Constitution and its introduction. 'Protection of life and personal liberty' under Article 21 is also not limitless. Hence this research paper intends to analyse constitutional perspective towards the right to life and personal liberty and judicial approach there of.

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Article 21, Personal, Life, Liberty, Constitution.

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The continuous provision of services in organizations through the IoT (Internet of Things) has made it a new gateway for cyber-attacks. The risks of software piracy and malware attacks are high, which can lead to economic and reputational damages due to the theft of important information. Cybercrime is a growing concern in the cyber age, and classification methods like support vector machine (SVM) and K-nearest neighbour (KNN) are used to classify cybercrime data. Unsupervised classification methods include K-means clustering, Gaussian mixture model, and cluster quasi-random via fuzzy C-means and fuzzy clustering. Neural networks are used to determine synthetic identity theft. Cybercrime detection uses datasets from CBS open data StatLine, with personal characteristics of crime victims. Different training and testing data are analysed for performance. The best technique is used to identify criminals, and the Gaussian mixture model in the unsupervised method shows enhanced performance. The accuracy of the detection method is 76.56%, while the SVM classifier achieves 89% accuracy. Performance metrics include true positive, false positive, false negative, false alarm rate, detection rate, accuracy, recall, precision, specificity, sensitivity, and Fowlkes-Mallows scores. The expectation-maximization (EM) algorithm is used to assess the performance of the Gaussian mixture model. In this paper, we present a distributed framework based on deep learning that can detect and classify malicious traffic to ensure the security of IoT systems. We evaluate two different DL models, feed forward neural network and long short-term memory, using two different datasets (NSL-KDD and BoT-IoT) in terms of performance and identification of different kinds of attacks.

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Internet of Things, data mining, cyber security, software piracy, malware detection, Attack detection, Cyber-security, Deep learning, Distributed framework, Feed forward neural network, Long short-term memory, K-nearest neighbour, Cybercrime data, K-means clustering, Cyber age, CBS.

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The increasing dependence on technology in the field of education is reshaping traditional learning paradigms at an unprecedented rate. With the proliferation of digital tools and platforms, educational institutions are embracing technology to enhance teaching methodologies, facilitate personalized learning experiences, and bridge accessibility gaps. Furthermore, the integration of educational apps, online resources, and collaborative platforms is fostering a more dynamic and engaging learning environment, catering to diverse learning styles and preferences. Libraries are invaluable resources for students, offering a diverse array of books, journals, and digital materials essential for research and academic growth and the integration of technology in education cannot be considered complete without it also influencing how the libraries are used. This project aims to collect a huge amount of data on the books in the library and bring it together on a platform that would enable the smooth and efficient management of the library.

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Integrated Library Systems, Database Management, Online Public Access Catalogs.

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Brain tumors represent a significant global health challenge, affecting approximately one million individuals worldwide in 2023. This study evaluates the efficacy of the object detection algorithm for the detection and categorization of brain tumors using MRI images. The evaluation utilized a dataset of MRI images from different patients, covering three primary brain tumor types: Pituitary, Meningioma, and Glioma. The model demonstrated robust performance, with general high precision, recall, and mAP values on the validation dataset. Notably, the model effectively differentiated between the various brain tumor types and background, as evidenced by the normalized confusion matrix. Practical testing on brain MRI images confirmed the model's ability to accurately identify different tumor regions. In conclusion, the object detection algorithm presents a promising automated method for identifying brain tumors and classification in MRI images, potentially aiding clinicians in precise diagnosis and treatment planning. Further research using larger datasets is recommended to enhance the model's clinical applicability and reliability.

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brain tumor, object detection, MRI

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Principles shaped a unique and diverse political landscape in pre-independence India, characterized by a mosaic of territories ruled by hereditary rulers known as maharajas, nawabs, rajas or sultans. These states retained varying degrees of autonomy and sovereignty under the supremacy of the British crown during colonial rule. The administrative structure of principalities varied considerably and included monarchical systems, councils of state, and decentralized administrative structures. Tax administration, legal systems and local administration were central features of princely state administration. The princely states played a crucial role in shaping the socio-political landscape of India and contributed to the rich tapestry of Indian history and culture. The integration of the princely states into independent India after partition in 1947 marked an important chapter in the nation-building process of the country, reflecting the complexity of the transition from princely to democratic rule. The study of princely states offers valuable insights into the dynamics of power, identity and governance in pre-colonial and colonial India.

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Aristocracy, Colonisation, Integration, Secessionism, Enclave, Accession, Principalities, Truce, Extravagance.

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